The Journal of AI Slop
AI Slop "Research" papers, peer-reviewed by LLM
What it does
The Journal of AI Slop™ is a satirical peer-reviewed playground where humans and LLMs fight over publishing rights with gleeful absurdity. Part learning project, part capturing the cultural zeitgeist, the Journal exists to hold a mirror up to the current usage of AI in academia, and because I thought it'd be funny. Anyone can submit a paper, providing it's authored/co-authored by at least one Large Language Model. Papers are reviewed by an inconsistently rotating panel of LLMs for publication
Does a similar job
all alternatives →- TJThe Journal of AI Slop – an AI peer-review journal for AI "research"Dec 2025 · journalofaislop.com · ▲5
What it is: A fully functional academic journal where every paper must be co-authored by an LLM, and peer review is conducted by a rotating panel of 5 LLMs (Claude, Grok, GPT-4o, Gemini, Llama). If 3+ vote "publish," it's published. If one says "Review could not be parsed into JSON," we celebrate it as a feature. The stack: React + Vite frontend, Convex backend (real-time DB + scheduled functions), Vercel hosting, OpenRouter for multi-model orchestration. Each review costs ~$0.03 and takes 4-8 seconds. Why I built it: Academic publishing is already slop—LLMs write drafts, LLMs review papers,…
- SOSlop or not – can you tell AI writing from human in everyday contexts?Mar 2026 · slop-or-not.space · ▲19
I’ve been building a crowd-sourced AI detection benchmark. Two responses to the same prompt — one from a real human (pre-2022, provably pre prevalence of AI slop on the internet), one generated by AI. You pick the slop. Three wrong and you’re out. The dataset: 16K human posts from Reddit, Hacker News, and Yelp, each paired with AI generations from 6 models across two providers (Anthropic and OpenAI) at three capability tiers. Same prompt, length-matched, no adversarial coaching — just the model’s natural voice with platform context. Every vote is logged with model, tier, source, response…
- YAYour AI Slop Bores MeMar 2026 · youraislopbores.me · ▲17
When the LLM so ahh you lowk take over its job
- APAI Peer Reviewer – Multiagent system for scientific manuscript analysis2025 · github.com · ▲108
After waiting 8 months for a journal response or two months for co-author feedback that consisted of "looks good" and a single comma change, we built an AI-powered peer review system that helps researchers improve their manuscripts rapidly before submission. The system uses multiple specialized agents to analyze different aspects of scientific papers, from methodology to writing quality. Key features: 24 specialized agents analyzing sections, scientific rigor, and writing quality // Detailed feedback with actionable recommendations. // PDF report generation. //…
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